Application of Artificial Intelligence in the Diagnosis, Treatment, and Prognostic Evaluation of Mediastinal Malignant Tumors

被引：7
|
作者：
Pang, Jiyun [1 ,2 ,3 ]
Xiu, Weigang [1 ,2 ,3 ]
Ma, Xuelei [4 ]
机构：
[1] Sichuan Univ, West China Hosp, Canc Ctr, Div Thorac Tumor Multimodal Treatment, Chengdu 610041, Peoples R China
[2] Sichuan Univ, West China Hosp, Canc Ctr, State Key Lab Biotherapy, Chengdu 610041, Peoples R China
[3] Sichuan Univ, West China Sch Med, Chengdu 610041, Peoples R China
[4] Sichuan Univ, West China Hosp, Canc Ctr, Dept Biotherapy, Chengdu 610041, Peoples R China
来源：
JOURNAL OF CLINICAL MEDICINE | 2023年 / 12卷 / 08期
关键词：
artificial intelligence; mediastinal malignancy; deep learning; artificial neural network; NEURAL-NETWORKS; HIGH-RISK; CANCER; CLASSIFICATION; OUTCOMES; THERAPY; HISTOPATHOLOGY; THYMECTOMY; PREDICTION; SURGERY;
D O I：
10.3390/jcm12082818
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
Artificial intelligence (AI), also known as machine intelligence, is widely utilized in the medical field, promoting medical advances. Malignant tumors are the critical focus of medical research and improvement of clinical diagnosis and treatment. Mediastinal malignancy is an important tumor that attracts increasing attention today due to the difficulties in treatment. Combined with artificial intelligence, challenges from drug discovery to survival improvement are constantly being overcome. This article reviews the progress of the use of AI in the diagnosis, treatment, and prognostic prospects of mediastinal malignant tumors based on current literature findings.
引用
下载
收藏
页数：14
相关论文
共 50 条
  • [41] DIAGNOSIS AND TREATMENT OF MALIGNANT LIVER TUMORS
    ENGELBERG, M
    HAREFUAH, 1977, 93 (12) : 416 - 418
  • [42] Evaluation of the Diagnostic Accuracy of an Online Artificial Intelligence Application for Skin Disease Diagnosis
    Zaar, Oscar
    Larson, Alexander
    Polesie, Sam
    Saleh, Karim
    Tarstedt, Mikael
    Olives, Antonio
    Suarez, Andrea
    Gillstedt, Martin
    Neittaanmaki, Noora
    ACTA DERMATO-VENEREOLOGICA, 2020, 100 : 1 - 6
  • [43] The Application of Artificial Intelligence in Financial Evaluation
    Zhu, Haipeng
    LECTURE NOTES IN REAL-TIME INTELLIGENT SYSTEMS (RTIS 2016), 2018, 613 : 100 - 107
  • [44] Application of artificial intelligence in diagnosis of pulmonary tuberculosis
    Du Jingli
    Su Yue
    Qiao Juan
    Gao Shang
    Dong Enjun
    Wang Ruilan
    Nie Yanhui
    Ji Jing
    Wang Zhendong
    Liang Jianqin
    Gong Wenping
    中华医学杂志(英文版), 2024, 137 (05)
  • [45] Application of Artificial Intelligence in Diagnosis and Classification of Anemia
    Kovacevic, Andela
    Lakota, Azemina
    Kuka, Lamija
    Becic, Ervina
    Smajovic, Alisa
    Pokvic, Lejla Gurbeta
    2022 11TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO), 2022, : 553 - 556
  • [46] The application of artificial intelligence in the diagnosis of prostate cancer
    Dovbysh, A.
    Savchenko, T.
    Moskalenko, R.
    Romaniuk, A.
    VIRCHOWS ARCHIV, 2022, 481 (SUPPL 1) : S302 - S303
  • [47] Application of Artificial Intelligence in Neuroendocrine Lung Cancer Diagnosis and Treatment: A Systematic Review
    Pokhriyal, Sindhu C.
    Shukla, Abhishek
    Gupta, Uma
    Al-Ghuraibawi, Muthanna Mohammed Hasan
    Yadav, Ruchi
    Panigrahi, Kalpana
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2024, 16 (05)
  • [48] Six application scenarios of artificial intelligence in the precise diagnosis and treatment of liver cancer
    Lang, Qi
    Zhong, Chongli
    Liang, Zhiyun
    Zhang, Yizhou
    Wu, Baokang
    Xu, Feng
    Cong, Ling
    Wu, Shuodong
    Tian, Yu
    ARTIFICIAL INTELLIGENCE REVIEW, 2021, 54 (07) : 5307 - 5346
  • [49] Application of artificial intelligence in the diagnosis of sleep apnea
    Bazoukis, George
    Bollepalli, Sandeep Chandra
    Chung, Cheuk To
    Li, Xinmu
    Tse, Gary
    Bartley, Bethany L.
    Batool-Anwar, Salma
    Quan, Stuart F.
    Armoundas, Antonis A.
    JOURNAL OF CLINICAL SLEEP MEDICINE, 2023, 19 (07): : 1337 - 1363
  • [50] Application of artificial intelligence in diagnosis of pulmonary tuberculosis
    Du, Jingli
    Su, Yue
    Qiao, Juan
    Gao, Shang
    Dong, Enjun
    Wang, Ruilan
    Nie, Yanhui
    Ji, Jing
    Wang, Zhendong
    Liang, Jianqin
    Gong, Wenping
    CHINESE MEDICAL JOURNAL, 2024, 137 (05) : 559 - 561
12345